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首页> 外文期刊>Indian Journal of Science and Technology >An Intelligent Intrusion Detection and Prevention System for Safeguard Mobile Adhoc Networks against Malicious Nodes
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An Intelligent Intrusion Detection and Prevention System for Safeguard Mobile Adhoc Networks against Malicious Nodes

机译：智能入侵检测与防御系统，保护移动自组织网络免受恶意节点攻击

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Objectives: Mobile Adhoc Networks (MANETs) due to their dynamic topology are more liable to have security problems. These Adhoc Networks are easily susceptible to various types of attacker nodes. Out of the numerous attacks black hole, flooding and selective packet drop attacks are more hazardous attacks which reduce the performance of network under various parameters. Due to this problem, there is a need to develop a new approach for mitigating these attacker nodes simultaneously to improve the performance of MANETs Methods: An Intelligent Intrusion Detection and Prevention System (IIDPS) is proposed for preventing the ad hoc network from these three types of attacks under the AODV protocol. The proposed mechanism works on the basis of trust management. This research work consists of a central network administrator for detecting malicious nodes in the MANETs. IIDPS includes a trust manager which categorizes the trust of the network into different categories. Different types of malicious nodes are identified by the behavior classifier based on a predefined threshold and risk factor conditions. Findings: The proposed IIDPS is responsible for preventing MANETs from the black hole, flooding, and selective packet drop attacker nodes. At the same time, the proposed prevention system improves the performance of the network in the terms of numerous parameters like throughput, overhead, delay, packet delivery ratio etc. Novelty/ Improvement: There is no technique exist for MANETs under AODV protocol for detecting black hole, flooding and selective packet drop malicious nodes. The proposed IIDPS solves this issue to handle of these multiple attacks at the same time.
机译：目标：移动自组织网络（MANET）由于其动态拓扑而更容易出现安全性问题。这些Adhoc网络很容易受到各种类型的攻击者节点的攻击。在众多黑洞攻击中，泛洪和选择性丢包攻击是更具危害性的攻击，会降低各种参数下网络的性能。由于这个问题，需要开发一种新的方法来同时缓解这些攻击者节点以提高MANET的性能。方法：提出了一种智能入侵检测和防御系统（IIDPS），用于防止ad hoc网络受到这三种类型的攻击AODV协议下的攻击。提议的机制在信任管理的基础上起作用。这项研究工作由中央网络管理员组成，用于检测MANET中的恶意节点。 IIDPS包括一个信任管理器，它将网络的信任分为不同的类别。行为分类器根据预定义的阈值和风险因素条件来识别不同类型的恶意节点。结果：提议的IIDPS负责防止MANET出现黑洞，洪泛和选择性丢包攻击者节点。同时，所提出的预防系统从吞吐量，开销，延迟，数据包传输率等众多参数的角度提高了网络的性能。新颖性/改进：在AODV协议下，用于MANET的黑色检测技术不存在。漏洞，泛洪和选择性数据包丢弃恶意节点。提议的IIDPS解决了此问题，可同时处理这些多种攻击。

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